Introduction to Proactive Data Mining

Haim Dahan; Shahar Cohen; Lior Rokach; Oded Maimon

doi:10.1007/978-1-4939-0539-3_1

Introduction to Proactive Data Mining

Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon

Department of Software and Information Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In this chapter, we provide an introduction to the aspects of the exciting field of data mining, which are relevant to this book. In particular, we focus on classification tasks and on decision trees, as an algorithmic approach for solving classification tasks.

Original language	English
Title of host publication	PROACTIVE DATA MINING WITH DECISION TREES
Publisher	Springer New York
Pages	1-14
ISBN (Electronic)	978-1-4939-0539-3
ISBN (Print)	978-1-4939-0538-6
DOIs	https://doi.org/10.1007/978-1-4939-0539-3_1
State	Published - 15 Feb 2014

Publication series

Name	SpringerBriefs in Electrical and Computer Engineering
Publisher	Springer
ISSN (Print)	2191-8112
ISSN (Electronic)	2191-8120

Keywords

Data mining
Supervised learning
Machine Learning
Classification
Decision trees
Active learning

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10.1007/978-1-4939-0539-3_1

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KW - Machine Learning

KW - Classification

KW - Decision trees

KW - Active learning

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Introduction to Proactive Data Mining

Abstract

Publication series

Keywords

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